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This project involves scraping and preprocessing e-sports earnings data from esportsearnings.com. It applies multi-factor statistical analysis to correlate different socioeconomic indicators with competitive success. Using Python-based pipelines, the study generates detailed visualizations that reveal geographic and temporal trends in e-sports.

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Pigeon-Effect/Decoding-E-Sports-Supremacy

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Decoding E-Sports Supremacy

This project investigates the dynamics of competitive dominance in e-sports, focusing on how various factors influence player and team performance across major titles. Through comprehensive data analysis and visualization, it aims to uncover patterns behind sustained success in e-sports ecosystems.


Overview

E-sports has rapidly evolved into a global competitive phenomenon with cultural and financial cloud that doesnt fall short of major sports championships. Understanding what drives dominance therefore is required not only by professional players, stakeholders and fans but by obersvers of the political realm it naturally inherits.

This repository offers:

  • Data collection and preprocessing pipelines
  • Visualizations highlighting key geografical and historic trends in e-sports earnings
  • Multi-Faktor analysis that correlates diffrent indicators (GDP, average internet speed, olympic medals) with e-sports earnings

Data Sources

The datasets are compiled from www.esportsearnings.com


Results

National Earnings by Genre (Normalized)

Stacked Bar Graph of Normalized National Earnings


Relative Genre Dominance per Country

Radar Chart of Relative Genre Dominance


Correlates of E-Sports Dominance: Scatter Plot

Scatter Plot of E-Sports Dominance Correlates


Correlates of E-Sports Dominance: Bar Graph

Bar Graph of E-Sports Dominance Correlates


About

This project involves scraping and preprocessing e-sports earnings data from esportsearnings.com. It applies multi-factor statistical analysis to correlate different socioeconomic indicators with competitive success. Using Python-based pipelines, the study generates detailed visualizations that reveal geographic and temporal trends in e-sports.

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